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Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal
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04.08.2026, Academic staff Fully funded PhD position (TV-L E13) at the Technical University of Munich (TUM) in Generative AI for Automotive Software Engineering. The project focuses on LLMs, VLMs
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Chair of Biological Imaging 13.08.2026, Academic staff Join us in shaping the future of biomedical imaging We are looking for a PhD student (f/m/d) who wants to take ownership of the software
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: World Models for Software Architecture Synthesis (Constructor
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, computational requirements and scalability Collaborate with domain researchers and computing specialists to validate your methods on relevant EO problems and integrate research prototypes into shared software and
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devices, building a software-supported framework to predict and optimize laser-material interactions, energy transfer, and resulting micro-scaled features during drilling and shaping, and modelling of beam
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on RFSoCs or software-defined radios. ▪ Conducting real-world experiments to investigate deviations between theoretical models, software simulations, channel emulations, and hardware implementations
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degree in geosciences, physics, computer science, mathematics or related natural sciences Good programming skills, preferably in Python, Fortran or C++ Experience with geodynamic modelling software such as
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scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM, TEM, EBSD
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experience (if any), employment gaps (if any), interests, extracurricular activities, international experiences, and projects demonstrating your programming/software skills, background knowledge relative